A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

1. Open the document in Google Docs
2. Scroll to the bottom of the document, so all the pages are present
3. Open Developer Tools on separate window and choose the Console tab
4. Paste the code
5. Have fun!

Status: Working project reference
Knowledge date: 16 September 2026
Scope: TypeSafe AI, System One Models, and specifically the Jev model

日本語で技術的な原稿（書籍の章、記事、解説文）を書く・推敲するときは、以下の規範に従う。

AI development has long been hindered by costly subscriptions and fragmented API ecosystems. If you’ve ever struggled to choose between Claude’s deep reasoning and GPT’s versatility, or dreaded paying for multiple services just to test a new idea, a new platform is quietly shifting the paradigm.

AgentRouter stands out as a non-profit, unified LLM API gateway that grants developers $200 in free credits simply for registering. No credit card required. No hidden catches. Just direct, unrestricted access to top-tier AI models that typically cost hundreds of dollars a month.

1. What Exactly Is AgentRouter?
2. The $200 Free Credits Breakdown
3. Model Catalog: What You Get Access To